In this paper, an adaptive backstepping controller based on interval type-2 fuzzy neural
network (IT2FNN) approximator is proposed for flexible-joint manipulator with mismatched …

In this paper, a delta-operator-based discrete-time disturbance observer (DO) is proposed
for a class of uncertain systems. The proposed observer not only estimates disturbances but …

In this paper, a novel observer structure for nonlinear fractional-order systems is presented
to estimate the states of fractional-order nonlinear chaotic system with unknown dynamical …

In this study, a new backstepping control scheme is proposed to deal with the high accuracy
flexible joint servo system's position control. Based on the introduction of non‐consecutive …

This paper presents a novel observer-based controller for a class of nonlinear multi-agent
robot models using the high order sliding mode consensus protocol. In many applications …

The purpose of this paper is designing to optimise controller parameters for improvement of
the performances of cancer dynamic by combining both TS fuzzy sliding mode method and …

A lack of accurate description of the meshing characteristics and the corresponding frictional
mechanism of the harmonic drive gear has limited progress toward modeling the hysteresis …

Current robots can perform repetitive tasks well, but are constrained to environment and task
variations. Teaching a robot by demonstration is a powerful approach to solve the problem …

This paper has proposed a novel class of the stable discrete-time multilayer perceptron
(MLP) neural observer for a class of discrete-time multiple-input multiple-output uncertain …

This paper proposes a new methodology for state estimation of a class of nonlinear systems.
Owing to hard nonlinearity of some complex systems, the performance of linearisation …